Healthcare Hack Nights are a series of part-workshop, part-lab event to explore how AI and machine learning can be applied to healthcare and biological problems.
The aim of these events is to learn a new skill for a healthcare-related problem.
In this session, we'll walk through a cancer gene expression dataset from The Cancer Genome Atlas (TCGA) and explore how machine learning can be used to identify markers for cancer. In subsequent events, we'll dive deeper into this data set and identify additional areas where ML can be applied.
Spell is a cloud platform that will power our machine learning experimentation for Hack Night. Spell is an end-to-end data science and machine learning platform with the infrastructure and tools to efficiently prepare, train, deploy and manage Machine Learning projects.
General public interested in solving healthcare related data problems.
- Basic understanding of either R or Python 3 (Python 3 is the preferred language. The past projects have all been Python 3 based.)
- Interest in solving healthcare related problems
- Basic understanding of data-science, AI and ML
- GitHub account
We have 15 spots available for this event! To confirm your attendance to Hack Night on 10/15 please purchase a ticket through Eventbrite for $10 (https://www.eventbrite.com/e/healthcare-hack-night-tickets-72013860395).
Please bring your own laptop in order to participate this event as well as your ID for security to get into the building.
Can't make this date, or tickets sold out?
We're hosting related events on 10/22 and 10/29. We'll progress on our work from this event, using the same dataset. You'll be able to jump in even if you haven't made the previous events:
- 10/22: Healthcare Hack Night: Part II (https://www.eventbrite.com/e/healthcare-hack-night-part-ii-tickets-74572529443)
- 10/29: Healthcare Hack Night Part III (https://www.eventbrite.com/e/healthcare-hack-night-part-iii-tickets-74572663845)